Md. Wali-ur-Rahman

Papers

Total Citations

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About

Md. Wali-ur-Rahman is a researcher in robotics and embedded systems, with a focus on developing intelligent, human-assistive technologies. His most-cited work, "Robotic Arm with Proximity and Color Detection" (2018, 9 citations), introduces a 6-degree-of-freedom robotic arm controlled by an Arduino Mega microcontroller. This project demonstrates a practical integration of proximity sensing and color detection, enabling the arm to interact with its environment autonomously—a step toward more adaptive industrial and service robots. By combining low-cost hardware with real-time sensor feedback, Rahman’s work highlights how accessible microcontrollers can power sophisticated automation solutions. His contributions are particularly relevant to students and engineers exploring affordable robotics platforms, as the design emphasizes modularity and ease of replication. While his citation count is modest, the work’s focus on sensor-driven manipulation and educational accessibility underscores its value in bridging theory and hands-on application. Rahman’s research aligns with broader trends in human-robot collaboration, offering a foundation for future innovations in assistive robotics and automated sorting systems.